Sequential Pattern Mining
Sequential Pattern Mining is a data mining technique used to discover statistically relevant patterns in sequential data, where the order of items or events matters. It identifies subsequences that occur frequently across sequences, such as in customer purchase histories, web clickstreams, or biological sequences. This helps uncover trends, predict future behaviors, and support decision-making in various domains.
Developers should learn Sequential Pattern Mining when working with time-series or sequence-based data, such as in e-commerce for analyzing shopping patterns, in cybersecurity for detecting intrusion sequences, or in bioinformatics for studying DNA sequences. It is essential for building recommendation systems, fraud detection algorithms, and any application where understanding temporal or ordered relationships in data is critical for insights and predictions.